Carl H. Lindner College of BusinessCarl H. Lindner College of BusinessUniversity of Cincinnati

Carl H. Lindner College of Business

Peng Wang, PhD

Assistant Professor
Contact Information
E-mail:
Office:
532 Carl H. Lindner Hall
Phone:
513-556-5793
Fax:
513-556-5499
History

Institution:
University of Cincinnati
Title:
Assistant Professor


Institution:
Bowling Green State University
Title:
Assistant Professor
End Date:
2014-08-15


Awards | Honors

Organization:
Bowling Green State University
Name:
Travel Award to Visit Funding Agency
Year Received:
2012


Organization:
IMS
Name:
Support for 2013 IMS New Researchers Conference
Year Received:
2012


Organization:
IMS
Name:
IMS Laha Award
Year Received:
2011


Education

Institution:
University of Ilinois at Urbana-Champaign
Location:
Chamapign IL
Major:
Statistics
Completed:
2011
Degree:
Ph D


Institution:
Oregon State University
Location:
Corvallis
Major:
Statistics
Completed:
2008
Degree:
MS


Institution:
Peking University
Location:
Beijing, China
Major:
Statistics
Completed:
2005
Degree:
BS


Published Contributions

Ryan Cho, Peng Wang, Annie Qu,  (2017). Personalized Treatment in Longitudinal Studies. Statistica Sinica, 187-205.


Peng Wang, Jianhui Zhou, Annie Qu,  (2016). Correlation structure selection for longitudinal data with diverging cluster size. Canadian Journal of Statistics, 343-360.


Peng Wang,  (2015). Quasi-Least Squares Regression (Book Review). Journal of the American Statistical Association, 454-455.


Jianhua Hu, Peng Wang, Annie Qu,  (2014). Estimating and Identifying Unspecified Correlation Structure for Longitudinal Data. Journal of Computational and Graphical Statistics, .


Peng Wang, Cindy Tsai, Annie Qu,  (2012). Conditional Inference Function for Mixed- Eects Models with Unspecied Random-Eects Distribution. Journal of the American Statistical Association, 725-736.


Annie Qu, Grace Yi, Peter Song, Peng Wang,  (2011). Assessing the Validity of Weighted Generalized Estimating Equations. Biometrika, 215-224.



Accepted Contributions



Research in progress

Title:
Graphical Inference of Lasso-type Procedures





Title:
Simultaneous Inference for Gaussian Graphical Models


Status:
On-Going

Research Type:
Scholarly


Title:
Tree-based Model for longitudinal studies